private Dictionary <int, double> CreateThresholds(UnivariateAlgorithmInput algorithmInput)
{
AlgorithmInputData data = algorithmInput.data;
thresholds = new Dictionary <int, double>();
for (int i = 0; i < data.input.Length; i++)
{
int classIndex = data.output[i];
if (GestureDataManager.GetClassName(classIndex) != "Nothing")
{
double distance = ComputeDistance(data.input[i], registers[classIndex]);
if (!thresholds.ContainsKey(classIndex))
{
thresholds[classIndex] = distance;
}
else
{
thresholds[classIndex] = Math.Max(thresholds[classIndex], distance);
}
}
}
List <int> keys = thresholds.Keys.ToList();
foreach (int key in keys)
{
thresholds[key] *= 2;
}
return(thresholds);
}
public override void Train(UnivariateAlgorithmInput algorithmInput)
{
if (registers.Count == 0)
{
throw new Exception("Best gestures need to be registered before this method is called");
}
CreateThresholds(algorithmInput);
}
private void CreateDictionary()
{
foreach (Parameter parameter in Gesture.parameters)
{
UnivariateAlgorithmInput[] inputs = new UnivariateAlgorithmInput[parameter.Dimension()];
for (int i = 0; i < parameter.Dimension(); i++)
{
inputs[i] = new UnivariateAlgorithmInput();
}
Add(parameter.key, inputs);
}
Assert.AreEqual(Gesture.parameterKeys.Count, Count);
}
public abstract void Train(UnivariateAlgorithmInput input);
public UnivariateAlgorithm(string parameterName, int parameterIndex, UnivariateAlgorithmInput input)
{
this.parameterName = parameterName;
this.parameterIndex = parameterIndex;
}
public DTW(string parameterName, int parameterIndex, UnivariateAlgorithmInput input) : base(parameterName, parameterIndex, input)
{
}
